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VIRTUAL RESTORATION OF ARTWORKS USING ENTROPY-BASED COLOR IMAGE FILTERING SCHEMES

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Computer Vision and Graphics

Part of the book series: Computational Imaging and Vision ((CIVI,volume 32))

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Abstract

This paper presents a family of adaptive color image filters based on robust order-statistics and local contrast entropy control. The proposed filtering class is fully adaptive and free of any optimization procedure. Due to the adaptive nature of the algorithms and excellent balance between noise-removing and detailpreserving characteristics, it is desirable to use this technique as a pre-processing tool in practical color image processing applications such as virtual restoration of artworks.

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Author information

Authors and Affiliations

  1. The Edward S. Rogers Sr. Department ECE, University of Toronto, 10 King’s College Road Toronto, Ontario, M5S 3G4, Canada

    Rastislav Lukac & Konstantinos N. Plataniotis

  2. Polish-Japanese Institute of Information Technology, Koszykowa 86 Str, Warsaw, 02-008, Poland

    Bogdan Smolka

Authors
  1. Rastislav Lukac
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  2. Konstantinos N. Plataniotis
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  3. Bogdan Smolka
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Editor information

Editors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    K. Wojciechowski

  2. Silesian University of Technology, Gliwice, Poland

    B. Smolka

  3. Silesian University of Technology, Gliwice, Poland

    H. Palus

  4. The University of Western Australia, Crawley, Australia

    R.S. Kozera

  5. Warsaw University of Technology, Warsaw, Poland

    W. Skarbek

  6. The University of Western Australia, Crawley, Australia

    L. Noakes

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© 2006 Springer

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Lukac, R., N. Plataniotis, K., Smolka, B. (2006). VIRTUAL RESTORATION OF ARTWORKS USING ENTROPY-BASED COLOR IMAGE FILTERING SCHEMES. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_44

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  • DOI: https://doi.org/10.1007/1-4020-4179-9_44

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-4178-5

  • Online ISBN: 978-1-4020-4179-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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